Keywords
How to Cite
Abstract
This study employs econometric methods to quantify the effects of internet penetration and inflation on the share of agriculture, forestry, and fishing in gross domestic product (GDP), drawing on a panel dataset of 56 observations spanning 2011–2024. Results from Ordinary Least Squares (OLS) regression with multicollinearity diagnostics indicate that a one-percentage-point increase in internet users is associated with an approximately 0.246 percentage point reduction in agricultural GDP share, significant at the 0.1% level (p < 0.001). Inflation exerts a marginally significant positive effect of 0.387 percentage points (p = 0.050). The model explains 51.5% of the variance in agricultural GDP share (R² = 0.5153), and Variance Inflation Factors (VIF = 1.13) confirm the absence of multicollinearity. These findings underscore the structural role of digital transformation in reshaping sectoral economic composition and carry important implications for agricultural diversification and digitalization policy.
References
Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488–1542. https://doi.org/10.1257/aer.20160696
Aker, J. C., & Mbiti, I. M. (2010). Mobile phones and economic development in Africa. Journal of Economic Perspectives, 24(3), 207–232. https://doi.org/10.1257/jep.24.3.207
Sobirov, B. (2025). Oʻzbekistonda raqamli texnologiyalarning bandlikka taʻsiri: Empirik tahlil. Green Economy and Development, 3(12), 1938-1943.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Dethier, J.-J., & Effenberger, A. (2012). Agriculture and development: A brief review of the literature. Economic Systems, 36(2), 175–205. https://doi.org/10.1016/j.ecosys.2011.09.003
European Bank for Reconstruction and Development. (2023). Transition report 2023–24: Transitions big and small. EBRD. https://www.ebrd.com/transition-report
Sobirov, B. (2025). Raqamli texnologiyalar va ularning inflyatsiya jarayonlariga ta’sirining nazariy asoslari. Green Economy and Development, 3(1), 669-673.
McMillan, M. S., & Rodrik, D. (2011). Globalization, structural change and productivity growth (NBER Working Paper No. 17143). National Bureau of Economic Research. https://doi.org/10.3386/w17143
Pomfret, R. (2019). The Central Asian economies in the twenty-first century: Paving a new Silk Road. Princeton University Press.
Qiang, C. Z., Rossotto, C. M., & Kimura, K. (2011). Economic impacts of broadband. In World Bank, Information and Communications for Development 2009: Extending Reach and Increasing Impact (pp. 35–50). World Bank Publications.
Timmer, M. P., de Vries, G. J., & de Vries, K. (2014). Patterns of structural change in developing countries. In J. Weiss & M. Tribe (Eds.), Routledge Handbook of Industry and Development (pp. 65–83). Routledge.
World Bank. (2024). World development indicators. World Bank Open Data. https://data.worldbank.org
O‘zbekiston Respublikasi Davlat statistika qo‘mitasi. (2024). Statistik ma’lumotlar bazasi. https://stat.uz
Sobirov, B. (2026). The Effect of the Digital Economy on the Employment Structure in Uzbekistan. Central Asian Journal of Innovations on Tourism Management and Finance, 7(2), 183-189.
Karimjon o‘g‘li, S. B., & Karimjon o‘g‘li, S. B. (2026). Digital Work Trends and Disadvantages: A Global Bibliometric Analysis (2020–2024). Digital Work Trends and Disadvantages: A Global Bibliometric Analysis (2020–2024), 39(1), 293-301.
O‘G‘Li, S. B. K. (2026). RAQAMLI IQTISODIYOTNING O ‘ZBEKISTONDAGI BANDLIK TUZILMASIGA TA’SIRI. Raqamli iqtisodiyot (Цифровая экономика), (15. I), 87-98.